self-improving-ai

Automated evaluation and reflection tracks generation metrics, assesses outputs against defined rubrics, and proposes prompt improvements within a versioned governance system. You can apply these proposed changes with or without human review.

AI reflection is an auditable process that evaluates its own pipeline generation outputs, updates prompts, and tunes performance to continuously improve results. It uses dedicated stores to log reflections and apply versioned changes.

To start a self-improvement cycle, prompt the AI to begin evaluating recent widget generations. The system will automatically track metrics, assess outputs against configured rubrics, and generate prompt improvement proposals.

You can configure reflection timers and add new capabilities to the AI evaluation system for extensibility and debugging. This allows you to monitor outcomes and manage automated improvements via a central dashboard.

The automated prompt governance system supports applying versioned prompt changes with or without human review. This ensures safe configuration and clear rubrics are maintained across all proposals and applied updates.